Entrepreneur, CEO, And Co-Founder of Hippocratic AI

AI Agents Healthcare: A Nvidia And Hippocratic AI Partnership

Nvidia has partnered with Hippocratic AI to develop advanced generative AI agents for healthcare that can operate more efficiently and cost-effectively than human nurses on video calls. Utilizing Nvidia’s cutting-edge technology alongside Hippocratic’s specialized large language model (LLM), these AI agents aim to form human-like connections through conversational interactions, addressing healthcare staffing shortages and improving patient outcomes. Extensive testing has demonstrated the effectiveness of these AI agents, with over 1,000 registered nurses and 100 licensed physicians in the U.S. participating in trials. The AI agents have shown to outperform human nurses and other AI models like OpenAI’s GPT-4 and Meta’s LLaMA 2 70B Chat in various tasks, offering significant cost savings with an operational cost of just $9 per hour.

The collaboration between Nvidia and Hippocratic AI seeks to alleviate healthcare worker shortages in the U.S. by refining technology to enhance healthcare access and equity, ultimately boosting patient outcomes. Munjal Shah, co-founder and CEO of Hippocratic AI, emphasized the collaboration’s goal to refine technology and improve healthcare access and outcomes, while Kimberly Powell, Nvidia’s healthcare VP, highlighted the potential of voice-based digital agents to transform healthcare through human-like interactions. By addressing critical challenges such as staffing shortages and healthcare equity, the partnership is paving the way for innovative solutions in the healthcare sector.

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MUNJAL SHAH’S AUDACIOUS BET ON THE FUTURE OF HEALTHCARE AI

As co-founder and CEO of Hippocratic AI, Munjal Shah is developing artificial intelligence that he believes could fundamentally reshape how medical care is delivered. His company’s generative AI large language models, purpose-built for healthcare, aim to take on countless routine tasks. Those tasks are currently performed by healthcare providers, everything from preoperative instructions to chronic disease management check-ins.

“What if instead of doing a co-pilot model, we do autopilot?” Shah posits, contrasting his vision with AI tools designed merely to assist human clinicians. “What if we build fully automated AIs that call people on the phone and talk to them? Imagine an AI that can do nondiagnostic, low-risk tasks like preoperative calls and medication reminders?”

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